{"id":"W2967007349","doi":"10.1109/itec.2019.8790486","title":"A Hardware-in-the-Loop Test Platform for a Vehicular Auxiliary Power System with Onboard PV","year":2019,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Software; Embedded system; Computer science; Extensibility; Electric power system; Auxiliary power unit; Power (physics); Event (particle physics); Photovoltaic system; Hardware-in-the-loop simulation; Engineering; Operating system; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005942338,0.0007922231,0.0005231876,0.0004297618,0.0004238239,0.0005090381,0.001563704,0.0004701696,0.004675696],"category_scores_gemma":[0.001232104,0.0002283351,0.0003407549,0.0001921071,0.0004864858,0.0005429687,0.0005815926,0.0008474252,0.001012857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000375038,"about_ca_system_score_gemma":0.0006528514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001216257,"about_ca_topic_score_gemma":0.001195343,"domain_scores_codex":[0.9995272,0.0001234915,0.00002392728,0.00007376652,0.0001914459,0.00006008471],"domain_scores_gemma":[0.9991605,0.0002546198,0.0000900629,0.000170469,0.000204708,0.0001195946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002486807,0.001905219,0.01348617,0.001080864,0.0002301141,0.001537125,0.0009852959,0.1789285,0.5991231,0.006483985,0.007603016,0.1861498],"study_design_scores_gemma":[0.0007070165,0.007097973,0.008922185,0.00006533196,0.0001184635,0.0007689408,0.0001510907,0.5662358,0.3949144,0.001921209,0.01898566,0.0001119427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4348218,0.0001080924,0.5378162,0.0001695065,0.0002064784,0.001024458,0.0006843051,0.01775625,0.007412862],"genre_scores_gemma":[0.9486329,0.00004221069,0.04712449,0.00005432722,0.00001584537,0.0003406036,0.0004303147,0.0002752438,0.003084101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004675696,"threshold_uncertainty_score":0.01564175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006122214235516603,"score_gpt":0.1918038136171309,"score_spread":0.1856815993816143,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}